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Epidemic spreading in an expanded parameter space: the supercritical scaling laws and subcritical metastable phases.
Campi, Gaetano; Valletta, Antonio; Perali, Andrea; Marcelli, Augusto; Bianconi, Antonio.
  • Campi G; Institute of Crystallography, CNR, via Salaria Km 29. 300, Monterotondo Stazione, Roma I-00015, Italy.
  • Valletta A; Rome International Centre Materials Science Superstripes RICMASS via dei Sabelli 119A, 00185 Rome, Italy.
  • Perali A; Institute for Microelectronics and Microsystems, IMM, Consiglio Nazionale delle Ricerche CNR Via del Fosso del Cavaliere 100, 00133 Roma, Italy.
  • Marcelli A; Rome International Centre Materials Science Superstripes RICMASS via dei Sabelli 119A, 00185 Rome, Italy.
  • Bianconi A; School of Pharmacy, Physics Unit, University of Camerino, 62032 Camerino (MC), Italy.
Phys Biol ; 18(4)2021 06 21.
Article in English | MEDLINE | ID: covidwho-1243452
ABSTRACT
While the mathematical laws of uncontrolled epidemic spreading are well known, the statistical physics of coronavirus epidemics with containment measures is currently lacking. The modelling of available data of the first wave of the Covid-19 pandemic in 2020 over 230 days, in different countries representative of different containment policies is relevant to quantify the efficiency of these policies to face the containment of any successive wave. At this aim we have built a 3D phase diagram tracking the simultaneous evolution and the interplay of the doubling time,Td, and the reproductive number,Rtmeasured using the methodological definition used by the Robert Koch Institute. In this expanded parameter space three different main phases,supercritical,criticalandsubcriticalare identified. Moreover, we have found that in thesupercriticalregime withRt> 1 the doubling time is smaller than 40 days. In this phase we have established the power law relation betweenTdand (Rt- 1)-νwith the exponentνdepending on the definition of reproductive number. In thesubcriticalregime whereRt< 1 andTd> 100 days, we have identified arrested metastable phases whereTdis nearly constant.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal subject: Biology Year: 2021 Document Type: Article Affiliation country: 1478-3975

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal subject: Biology Year: 2021 Document Type: Article Affiliation country: 1478-3975